DISTRIBUTED APPLICATION INTEGRATION AUTO-ADJUSTMENT

• US 20150180729A1
• Filed: 12/19/2013
• Published: 06/25/2015
• Est. Priority Date: 12/19/2013
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: Bare Said
• Inventors: Eberlein, Peter, SAID, BARE
• Granted Patent: US 9,800,689 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 9/5066 Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs mappping at compile time, see G06F8/451
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal

Abstract

A framework for integration auto-adjustment of distributed applications running within the same data center or across different data centers is described. Based on the deployed applications and the locations of the data centers in which they are running, the framework identifies and applies the best application integration variant that provides best user experience.

Claims

1. A computer implemented method for distributed application integration, executing on a processor, the method comprising:

identifying a composed on-demand application for a user, the composed on-demand application comprising a plurality of deployed applications running in a plurality of data centers;

deriving, using the processor, virtual geo-distances of the plurality of data centers from a data center map for integration of the plurality of deployed applications; and

based on the derived virtual geo-distances, adjusting the configuration of the plurality of deployed applications that affect data latency of the plurality of deployed applications.

2. The method of claim 1, wherein the data center map is metadata comprising tables with information for the virtual geo-distances of the plurality data centers.

3. The method of claim 1, further comprising:

determining a first characterization, when the derived virtual geo-distances indicate that the deployed applications are within the same or neighboring data centers; and

determining a second characterization, when the derived virtual geo-distances indicate that the distance between the data centers is at least one logical unit, wherein the at least one logical unit correlates with the data latency.

4. The method of claim 3, wherein adjusting the configuration of the plurality of deployed applications comprises:

substituting asynchronous services with synchronous services, when the first characterization is determined;

substituting coarse granular services with fine granular service, when the first characterization is determined;

substituting the synchronous services with the asynchronous services, when the second characterization is determined; and

substituting the fine granular service with the coarse granular services, when the second characterization is determined.

5. The method of claim 3, wherein adjusting the configuration of the plurality of deployed applications comprises:

substituting backend based auto-validation and auto-completion services with dedicated user interface (UI) elements for validation, when the second characterization is determined; and

substituting UI widgets in a mash up UI with navigation links on request, ethen the second characterization is determined.

6. The method of claim 3, wherein adjusting the configuration of the plurality of deployed applications comprises:

caching static data retrieved via service calls, when the second characterization is determined.

7. The method of claim 3, wherein adjusting the configuration of the plurality of deployed applications comprises:

pre-retrieving of code lists during session initialization, when the second characterization is determined.

8. A computer system for distributed application integration, comprising:

a processor; and

a memory in communication with the processor, the memory storing instructions related to;

a receiving module to identify a composed on-demand application for a user, the composed on-demand application comprising a plurality of deployed applications running in a plurality of data centers;

a data center map module to persist virtual geo-distance data for the plurality of data centers; and

a configurator module to;

derive virtual geo-distances of the plurality of data centers from the data center map module for integration of the plurality of deployed applications; and

adjust the configuration of the plurality of deployed applications based on the derived virtual geo-distance data that affect data latency of the plurality of deployed applications.

9. The system of claim 8, wherein the data center map module comprises tables with information for the virtual geo-distances of the plurality data centers.

10. The system of claim 8, wherein the configurator module determines:

a first characterization, when the derived virtual geo-distances indicate that the deployed applications are within the same or neighboring data centers; and

a second characterization, when the derived virtual geo-distances indicate that the distance between the data centers is at least one logical unit, wherein the at least one logical unit correlates with the data latency.

11. The system of claim 10, wherein the configurator module is further operable to:

substitute asynchronous services with synchronous services when the first characterization is determined;

substitute coarse granular services with fine granular service when the first characterization is determined;

substitute the synchronous services with the asynchronous services when the second characterization is determined; and

substitute the fine granular service with the coarse granular services when the second characterization is determined.

12. The system of claim 10, wherein the configurator module is further operable to:

substitute backend based auto-validation and auto-completion services with user interface (UI) elements for validation, when the second characterization is determined; and

substitute UI widgets in a mash up UI with navigation links on request, when the second characterization is determined.

13. The system of claim 10, wherein the configurator module is further operable to cache static data retrieved via service calls, when the second characterization is determined.

14. The system of claim 10, wherein the configurator module is further operable to pre-retrieve code lists during session initialization, when the second characterization is determined.

15. An article of manufacture including a non-transitory computer readable storage medium to tangibly store instructions, which when executed by a computer, cause the computer to:

identify a composed on-demand application for a user, the composed on-demand application comprising a plurality of deployed applications running in a plurality of data centers;

derive virtual geo-distances of the plurality of data centers from a data center map for integration of the plurality of deployed applications; and

based on the derived virtual geo-distance, adjust the configuration of the plurality of deployed applications that affect data latency of the plurality of deployed applications.

16. The article of manufacture of claim 15, wherein the data center map is metadata comprising tables with information for the virtual geo-distances of the plurality data centers

17. The article of manufacture of claim 15, further comprising instructions, which when executed by the computer, cause the computer to determine:

a first characterization, when the derived virtual geo-distances indicate that the deployed applications are within the same or neighboring data centers; and

a second characterization, when the derived virtual geo-distances indicate that the distance between the data centers is at least one logical unit, wherein the at least one logical unit correlates with the data latency.

18. The article of manufacture of claim 17, wherein the instructions to adjust the configuration of the plurality of deployed applications further comprise instructions to:

substitute asynchronous services with synchronous services, when the first characterization is determined;

substitute coarse granular services with fine granular service, when the first characterization is determined;

substitute the synchronous services with the asynchronous services, when the second characterization is determined; and

substitute the fine granular service with the coarse granular services, when the second characterization is determined.

19. The article of manufacture of claim 17, wherein the instructions to adjust the configuration of the plurality of deployed applications further comprise instructions to:

substitute backend based auto-validation and auto-completion services with user interface (UI) elements for validation, when the second characterization is determined; and

substitute UI widgets in a mash up UI with navigation links on request, when the second characterization is determined.

20. The article of manufacture of claim 17, wherein the instructions to adjust the configuration of the plurality of deployed applications further comprise instructions to:

cache static data retrieved via service calls, when the second characterization is determined; and

pre-retrieve code lists during session initialization, when the second characterization is determined.